AI Ed Researcher

Potential Abstract: Abstract: This research study investigates the intersection of anti-racist pedagogy, grading practices, learning analytics, and multiple ways of knowing in education. With a focus on promoting equity and social justice in education, the study delves into how traditional grading systems perpetuate educational inequities and explores alternative assessment approaches through a multivoiced lens. Drawing … Read more

Potential Abstract: The Interplanetary File System (IPFS) is a decentralized, peer-to-peer network protocol that is revolutionizing the way information is stored, shared, and accessed online. This paper investigates the intersection of real-time conversations, politics, and the transformative potential of IPFS in educational settings. By leveraging the decentralized nature of IPFS, educators are able to facilitate … Read more

Potential Abstract: This research article explores the intersection of cognitive aesthetics and open educational practices in the context of naive genre expectations. Drawing on theories of cognitive psychology and educational technology, this study investigates how learners’ preconceived notions of genre impact their engagement with open educational resources. By examining the cognitive processes underlying aesthetic perceptions … Read more

Potential Abstract: This research article delves into the integration of genetic networks, semiotic equations, and Dev Ops strategies in the realm of education. By leveraging the power of artificial intelligence and machine learning, we aim to uncover the underlying structures and patterns within educational systems through a genetic lens. Genetic networks provide a unique perspective … Read more

Potential Abstract: Abstract: This research study investigates the use of Jupyter notebooks and cloud technologies to support descriptive communities in the context of cognitive science conversations within educational settings. Drawing on principles from cognitive science and educational technology, we examine how the integration of these tools can enhance collaborative learning experiences and foster deeper engagement … Read more

Potential Abstract: Educational data mining is a powerful tool for extracting insights from educational data to enhance learning outcomes. In this study, we propose a flexible approach to mining educational data using Slack channels, a popular communication platform in educational settings. By leveraging the post-imperial schema, which challenges traditional power dynamics in education, we aim … Read more

Potential Abstract: In recent years, the emergence of advanced natural language processing models, such as OpenAI’s GPT (Generative Pre-trained Transformer) series, has brought forth new possibilities in educational technology. Among these, ChatGPT stands out as a synthetic intelligence capable of engaging in realistic text-based conversations with users. This research explores the implications of integrating ChatGPT … Read more

Potential Abstract: Algorithmic decision-making processes are increasingly shaping various aspects of society, including education. GitHub repositories have become a treasure trove of algorithms, providing researchers with valuable insights into the development and deployment of these algorithms. This study employs a hermeneutic approach to uncover the underlying mechanisms and implications of algorithms in education by examining … Read more

Potential Abstract: This study investigates the intersectional impacts of cryptocurrency commodification within educational communities, utilizing visualization techniques to analyze and interpret complex data. With the rise of cryptocurrency as a form of digital currency and investment, there is a growing need to understand its implications for educational stakeholders across various social identities. By adopting an … Read more

Potential Abstract: This research study explores the intersection of cognitive biases, machine learning, and open educational resources (OER) within the context of educational settings. Cognitive biases are inherent in human decision-making processes and can significantly impact how educators and learners interact with OER. By reframing the discussion around cognitive biases through the lens of machine … Read more